Description
SpAItial is hiring a Research Scientist focused on 3D diffusion to lead research on designing, building, training, evaluating, and optimizing diffusion-based generative models that create high-quality, spatially consistent, and physically grounded 3D content from images, video, and other inputs. The role involves adapting image and video diffusion backbones, working with point clouds, meshes, and 3D Gaussian Splatting, developing training pipelines and loss functions, integrating physics-aware priors, and improving model robustness through experimentation and debugging.
